Secure Every Voice Interaction in the Deepfake Era
Add the #1 deepfake detection to your communication channel in 5 minutes.
3.8M
Seconds of audio analyzed
15.5%
Flagged as AI-generated
98.4%
Accuracy
80+
Languages supported
3.8M
Seconds of audio analyzed
15.5%
Flagged as AI-generated
98.4%
Accuracy
80+
Languages supported
Trusted by voice technology leaders
Why Aurigin
The most accurate detection you can run at scale.
Benchmark-grade accuracy at a fraction of the compute cost — light enough to run on hardware as small as a Raspberry Pi.
Robust for real-world audio
Holds accuracy through the compression and packet loss of real calls — not just clean lab audio.
Privacy by design
A single score output — no audio stored, no call content analyzed.
EU-sovereign
Swiss-built and designed for GDPR compliance.
Outsource your anti-spoofing
Enterprise-grade detection, zero complexity
What used to require massive investment is now available through a single integration. Focus on your product, we handle the rest.
1M+ hours
Training data behind every detection. Works on real-world conditions from day one.
$100–300k
per training. With Aurigin, it costs you the price of one API call.
24/7 threat monitoring
Autonomous agents monitor the cloning landscape around the clock.
Ship in days, not months
No ML team needed. Integrate with a single API call and start detecting immediately.
Technology
What Makes Our Detection Different
Purpose-built for voice and communication products.
Real-Time Detection
Liveness verdicts in under 50 ms. Fast enough to run inline on a live call without anyone noticing it's there.
98 %+ Accuracy
Benchmark-leading detection across TTS, voice conversion, replay, and voice-cloning attacks. Calibrated with confidence scores, not just binary verdicts.
80+ Languages
Language-agnostic neural architecture that generalises across accents, dialects, and telephony codecs. From 8 kHz narrowband to 48 kHz WebRTC.
Full Attack Coverage
Detects the complete spectrum of voice spoofing threats: text-to-speech, voice conversion, replay attacks, and personalised voice clones.
Continuously Updated
Model retraining against the latest synthesis engines like ElevenLabs, XTTS, RVC, Bark, and emerging open-source cloners so detection stays ahead of attackers.
Explainable Verdicts
Every detection comes with calibrated confidence scores and segment-level localisation. Not a black-box binary answer.
Integrations
Products for B2B partners
Integrate deepfake detection into your platform in minutes, via API or native SDK.
API
REST API for seamless integration with any platform or language
- Single endpoint for deepfake detection
- < 5 minutes to integrate
- On-premise Docker and Kubernetes options
- Full data-privacy, GDPR, SOC 2, ISO 27001 compliant
SDK
Install Aurigin as a package directly into your preferred code stack
- Native libraries for Python, TypeScript, and Swift
- One-line install via pip, npm, or CocoaPods
- Full data-privacy, GDPR, SOC 2, ISO 27001 compliant
Feedback
Leading technology on the market
“Having tested your tool and comparing it with the AI audio detection tools we regularly use, we are confident we can use it in our verification process.”
Deepfakes Analysis Unit
Misinformation Combat Alliance
“You've achieved 96+% accuracy overall. So, quite good.”
Evaluation
ingenID
“You have half the error rate than the next-best player we have evaluated you against.”
Competitive evaluation
Phonexia
“Having tested your tool and comparing it with the AI audio detection tools we regularly use, we are confident we can use it in our verification process.”
Deepfakes Analysis Unit
Misinformation Combat Alliance
“You've achieved 96+% accuracy overall. So, quite good.”
Evaluation
ingenID
“You have half the error rate than the next-best player we have evaluated you against.”
Competitive evaluation
Phonexia
“I ran the first files thru the web-based analyzer. The clone detection was impressive.”
Product evaluation
Tellos Alliance
“Aurigin's granular detection, identifying which segments of a recording are real vs. fake, is the first tool I've seen with this capability. It directly addresses the biggest challenge in forensic audio authentication.”
Audio/Video Forensics MSc
LJMU
“Testing showed Aurigin had best accuracy vs competitors”
Independent testing
AntiAI
“I ran the first files thru the web-based analyzer. The clone detection was impressive.”
Product evaluation
Tellos Alliance
“Aurigin's granular detection, identifying which segments of a recording are real vs. fake, is the first tool I've seen with this capability. It directly addresses the biggest challenge in forensic audio authentication.”
Audio/Video Forensics MSc
LJMU
“Testing showed Aurigin had best accuracy vs competitors”
Independent testing
AntiAI
News & recognition
Resources & Media Coverage
Our latest achievements, industry recognition, and expert insights.
Independently benchmarked as the leader in accuracy and cost efficiency allowing deepfake detection to run continuously on every call
96.75% accuracy, F1 0.967, 1.5% false-positive rate on the first private-label audio deepfake detection benchmark.
Read more
MAS highlights three urgent threats for financial institutions in Singapore
MAS warns Singapore’s financial institutions about compromised biometric authentication, impersonation scams, and misinformation-driven market risk.
Read more
#1 in Security at TOP 100 Swiss Startups 2025 Public Voting
Discover the 100 most promising Swiss startups 2025, which were selected by the Top100 Jury.
Learn moreFAQ
Frequently Asked Questions
Quick answers to common questions about our technology
How accurate is Aurigin's detection?
Our latest Apollo model achieves 98%+ accuracy on benchmark datasets covering TTS, voice conversion, and replay attacks across 80+ languages.
We consistently outperform open-source baselines and provide calibrated confidence scores, not just binary verdicts.
Does Aurigin store or use our audio data?
No. We take data privacy seriously and offer full control over audio handling.
Cloud API: Audio is processed securely and deleted immediately after analysis. Never stored or used for training.
On-Premise: No audio ever leaves your infrastructure. Full data sovereignty.
What types of voice spoofing attacks do you detect?
Aurigin detects the complete spectrum of voice spoofing threats: text-to-speech, voice conversion, replay attacks, and personalised voice clones.
Add Deepfake Detection to Your Product
Join the companies integrating industry-leading AI detection with Aurigin.